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Record W2989182681 · doi:10.35297/qjae.010013

Ludwig von Mises, Sociology, and Metatheory

2019· article· en· W2989182681 on OpenAlexaff
Christian Robitaille

Bibliographic record

VenueThe Quarterly Journal of Austrian Economics · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMetatheorySociologyCapitalismEpistemologySocialismField (mathematics)Scope (computer science)Social scienceOrder (exchange)Division of labourPositive economicsNeoclassical economicsEconomicsLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper discusses the epistemological status and potential scope of the discipline of sociology based on the writings of Ludwig von Mises. More specifically, it presents his epistemological distinction between theory and history, and argues that sociology can be integrated in this framework as a historical discipline. As such, it must be a praxeologically guided study of general or specific social phenomena that already occurred or are likely to occur. Additionally, this paper addresses the general insights provided by Mises to questions of interest to the field of sociology—the division of labor and the evolution of society, the social effects of socialism and capitalism, class analysis, and the role of ideas in social change—in order to infer from it the general tasks that sociology, as a historical discipline, can accomplish in its study of social phenomena.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.020
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.266
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2019
Admission routes1
Has abstractyes

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